Channelization of IEEE 802.11 for various bandwidths in the 5 GHz band.

Channelization of IEEE 802.11 for various bandwidths in the 5 GHz band.

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This paper aims to explain the wideband operation of IEEE 802.11, illustrate the challenges for wider-bandwidth support, and propose solutions. First, we describe the wideband operation of conventional IEEE 802.11 systems and the low-efficiency problem related to their contiguous channel-bonding limitations. Next, we describe how the puncturing of...

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... 802.11 defines frequency channels for bandwidths of 20, 40, 80 and 160 MHz, as illustrated in Fig. 1. A basic service set (BSS) of IEEE 802.11 selects a primary 20 MHz channel where all the comprising stations (an access point station (AP) and its associated non-AP stations) of the BSS exchange basic control frames including beacon frames and perform a backoff procedure for channel access. The frequency channels of IEEE 802.11 are ...
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... real-time construction of a specific structure mode and (2) preconstruction of all or selected structure modes and real-time switching among them. Fig. 10 illustrates the opportunistic adaptation of the RU-info signaling structure for three bandwidth patterns in P80. In Case (a), the entire P80 is idle; thus, RU-info is organized into four content channels to minimize the signaling overhead. In Case (b), P40 is idle while S40 is busy, so RU-info is organized into two content channels, ...
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... we investigate how the throughput of a wider-bandwidth BSS is affected by a varying number of legacy single-channel (20 MHz) OBSSs. The wider-bandwidth AP is in a full-buffer state while each OBSS has a traffic rate of 50 Mbps. Legacy OBSSs are distributed randomly among 20 MHz channels. Each result point is an average of ten simulation runs. Fig. 11 shows the average of the transmission bandwidth and system throughput at MCS7. As the number of OBSSs increases, the transmission bandwidth gets more probable that a part of the RU-info channels are occupied by OBSSs. Thus, among the RU-info structure modes, the four-channel mode has the fastest decreasing rate while the one-channel ...
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... one-channel mode always achieves the highest transmission bandwidth. The two-channel mode is between them. The bandwidth utilization of the one-channel mode is the highest, however, its throughput is not always the best due to the signaling overhead and is even as low as the contiguous channel bonding for the number of OBSSs of zero as shown in Fig. 11(b) (the throughput of this mode is lower than that of the two-channel mode when the number of OBSSs is less than five). As a result, the trend of the throughput is similar to that of the transmission bandwidth but not exactly the same. The signaling overhead offsets the gain obtained from the extra utilization of frequency resources. If ...
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... is similar to that of the transmission bandwidth but not exactly the same. The signaling overhead offsets the gain obtained from the extra utilization of frequency resources. If the MCS of the payload increases (it is expected to increase further in future generations including EHT), the impact of the RU-info overhead increases (as shown in Figs. 12 and 13). As such, the best RU-info structure mode depends on the population of OBSSs in the operation bandwidth. In the meantime, the opportunistic adaptation adapts to the environmental conditions VOLUME 8, 2020 and switches between modes, thus always achieving the best bandwidth and throughput at the same time (e.g., as the number of OBSSs ...
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... evaluation of the statistical adaptation approach, the two versions of load-aware adaptation schemes-loadaware RU-info and load-aware bonding-are also considered for comparison in Fig. 11. In the simulation, these schemes estimate online the busy probability of each channel as the ratio of the CCA-busy occurrences of the channel among previous ten transmissions. The load-aware RU-info but the degree of degradation is somewhat limited. This implies that, if realtime RU-info construction is not affordable, the load-aware ...
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... 20 MHz operation bandwidths. Within each 80 MHz bandwidth, three OBSSs, one for each type, are deployed, with each P20 being randomly selected. The wider-bandwidth AP is in a full-buffer state while the traffic rate of OBSSs varies in [1,10,50] Mbps. The observed trend of the throughput performance with increasing traffic rate of OBSSs shown in Fig. 12 is similar to that with increasing number of OBSSs shown in Fig. 11. When the traffic rate is as small as 1 Mbps, the two-channel mode achieves higher throughput than the one-channel mode because of lower signaling overhead. As the traffic load increases, however, a mode with fewer channels is better for RU-info signaling success and ...
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... one for each type, are deployed, with each P20 being randomly selected. The wider-bandwidth AP is in a full-buffer state while the traffic rate of OBSSs varies in [1,10,50] Mbps. The observed trend of the throughput performance with increasing traffic rate of OBSSs shown in Fig. 12 is similar to that with increasing number of OBSSs shown in Fig. 11. When the traffic rate is as small as 1 Mbps, the two-channel mode achieves higher throughput than the one-channel mode because of lower signaling overhead. As the traffic load increases, however, a mode with fewer channels is better for RU-info signaling success and ultimately, for the traffic rate of 50 Mbps, the one-channel mode is ...
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... MCS results in the shorter airtime of the payload and the higher percentage of the RU-info airtime within a frame; the one-channel mode has the longest airtime of RU-info among all modes, thus having the highest percentage of the RU-info airtime. The throughput trends for all MCSs of IEEE 802.11ax with a varying number of OBSSs are shown in Fig. 13, also showing that as MCS gets higher the throughput gap ...
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... rates of 1, 5, and 50 Mbps. Since the traffic generation rates for stations are now heterogeneous, we evaluate the performance in terms of the traffic delivery ratio, which is obtained as the ratio of the achieved throughput to the generated traffic rate. The frequency of transmissions using different transmission bandwidths is shown in Fig. 14. When the OBSS's traffic generation rate is 1 Mbps, all schemes under comparison tend to use larger bandwidths overall. However, the onechannel mode has a significantly lower frequency of the usage of 320 MHz. This results from its low transmission efficiency due to the longest airtime of RU-info, which makes both the wider-bandwidth ...
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... throughput results are shown in Fig. 15 for varying OBSS loads. When the OBSS traffic generation rate is as low as 1 Mbps, the one and four-channel modes achieve the worst VOLUME 8, 2020 performance, implying that both the RU-info airtime and the signaling success probability are the affecting factors of the performance in this OBSS load condition. The two-channel mode ...
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... cumulative distribution functions (CDFs) of the per-station traffic delivery ratio are shown in Fig. 16 for the OBSS traffic generation rates of 1, 10, and 50 Mbps. The CDFs show that the opportunistic adaptation outperforms all of the fixed modes for all stations. This finding implies that the opportunistic adaptation achieves a performance gain by efficiently utilizing available bandwidth ...

Citations

... The frame format of PPDU for IEEE 802.11ax. 22 where the size for the acknowledgement frame in bytes is represented as ACK Size . Now, the duration necessary to send the VoWiFi packet successfully is specified by > ξ Ω in the following formula. ...
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... For IEEE 802.11b standard, we have used the physical layer's time (i.e., T PHY ) as 96 s [18] and other layer's time (i.e., T MAC , T IP , T UDP , T RTP , T cRTP and T P ) by simply dividing the respective layer headers by 11 Mbps using (4). The PPDU frame format of IEEE 802.11b can be found in Fig. 128 can be found in Fig. 5(b) of [22]. The duration of slot is 20 s for IEEE 802.11b. ...
... So, it is necessary to find the maximum N MPDU that will be acceptable to the voice application. The maximum number of MPDUs to be aggregated in a single A-MPDU is found by solving the inequality given in (22) for the largest of N MPDU . In Fig. 8, we have shown the maximum number of MPDUs can be aggregated in a single A-MPDU for CBR traffic considering DIFS and AIFS for IEEE 802.11b/g/n/ac/ax/be. ...
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... Additionally, a significant amount of work is currently being done to make Ultra Low Latency (ULL) application accessible via the subsequent version of Wi-Fi [7]. EHT is focused on attaining an extremely high rise in the peak of throughput, reaching at least 30 Gbps, which is three times higher or more than Wi-Fi 6, while concurrently minimizing the amount of latency experienced by users [8], [9], [10]. ...
... Wide channels promise a greater throughput. However, they present obstacles: flawless sync across sub-bands, primary channel obstructing access, power increase, and a higher peak-to-average power ratio resulting from more Orthogonal Frequency Division Multiplexing (OFDM) tones [9]. Modern APs feature dual/tri-band operation and extensive channel support. ...
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... The Sync with a primary link scheme (Sync-PL) is similar to the conventional wideband operation of IEEE 802.11 [4,5] In this scheme, an MLD runs a single BO in a primary link (PL) only and does not run in other links. When the primary link is about to reach a zero backoff count, the MLD performs a short clear channel assessment (CCA) for a point coordination function interframe space (PIFS) on each of the other links to check each's availability. ...
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... 59% of total mobile data traffic is expected to be delivered through Wi-Fi networks by 2022 [1]. For the continuing evolution of Wi-Fi networks [2], the next generation of IEEE 802.11 wireless local area network (WLAN) technology, named Extremely High Throughput (EHT), is under development by the 802.11be task group of IEEE (TGbe) [3,4], and is expected to be adopted by the Wi-Fi Alliance as Wi-Fi 7. EHT focuses on achieving an extreme increase in the peak throughput up to 30 Gbps, which is three times higher than that of Wi-Fi 6, while simultaneously reducing latency [5][6][7][8][9]. Mobile gaming and wireless virtual reality (VR) are two main use cases that are encouraging the development of EHT towards high peak throughput and low latency, whereas Wi-Fi 6 (also known as High Efficiency Wi-Fi or 802.11ax) was developed to ensure a stable user experience in dense deployment environments. ...
... • Sync-PL: This scheme resembles the conventional wideband operation of IEEE 802.11 [6,18], as illustrated in Figure 6. In this operation scheme, an MLD runs a single BO in a primary link (PL) only. ...
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Multi-link operation is a new feature of IEEE 802.11be Extremely High Throughput (EHT) that enables the utilization of multiple links using individual frequency channels to transmit and receive between EHT devices. This paper aims to illustrate enhanced multi-link channel access schemes, identify the associated coexistence challenge, and propose solutions. First, we describe the multi-link operation of IEEE 802.11be and how the asynchronous and synchronous channel access schemes facilitate multi-link utilization. Next, we describe the design variants of the synchronous channel access scheme and demonstrate the associated coexistence challenge. Subsequently, we propose four features to address this challenge by assigning penalties to multi-link devices (repicking a backoff count, doubling the contention window size, switching to another contention window set, and compensating the backoff count) as well as five coexistence solutions derived from combinations of these features. Comparative simulation results are provided and analyzed for dense single-spot and indoor random deployment scenarios, demonstrating that the throughput and latency gains of multi-link operation differ between schemes. At the same time, we investigate the coexistence performance of multi-link operation with and without the capability of simultaneous transmission and reception and demonstrate that the proposed solutions mitigate the coexistence problem. In particular, compensating the backoff count achieves the highest coexistence performance among the proposed solutions, with a marginal throughput decrease of multi-link devices. A metric for evaluating both the throughput and latency gains and the coexistence performance of a multi-link channel access scheme using a single value is also proposed.
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The rapid progress in wireless communication technology and proliferation of multimedia applications, including voice over WiFi (VoWiFi), demand exploration of innovative approaches to enhance the network performance and quality of service. We propose a technique for enhancing the cell capacity of wireless local area network (WLAN) access point that provides VoWiFi service in the sixth‐generation WLAN standard. The proposed technique uses the aggregate media access control protocol data unit (A‐MPDU) for frame aggregation with constant bit rate (CBR) traffic in the WiFi 6 standard (i.e., IEEE 802.11ax). On the other hand, the retransmission of voice packets substantially deteriorates the VoWiFi cell capacity. We compare the results obtained from the use of WiFi 6 with currently existing WLAN standards, such as IEEE 802.11b/g/n/ac. This comparison focuses on distributed coordination function interframe spacing (DIFS) and arbitration interframe spacing (AIFS) using CBR traffic. Using our technique, we can increase the VoWiFi cell capacity for CBR traffic by 24.25% and 25.20% when using DIFS and AIFS, respectively, while considering the A‐MPDU frame aggregation technique.
Chapter
With the surge in demand for wireless traffic and network quality of service, wireless local area network (WLAN) has developed into one of the most important wireless networks affecting human life. In high density scenarios, large numbers of Access Point (APs) and Stations(STAs) will be deployed in a limited area, means large amount of signals will be overlapped and coverage between Basic Service Sets (BSSs), interference and collisions will become more severe, and if the sensitivity of edge STA detection channel is not enough, such as the energy detection (ED) threshold and reception sensitivity mismatch of STAs, edge STA’s throughput may slow down seriously. So in this paper, we propose an edge STA throughput enhancement method based on ED threshold and TXPower joint dynamic adjustment to solve the problem of edge STA deceleration caused by ED threshold and reception sensitivity mismatch. By appropriately adjusting the ED threshold and TXPower of the BSSs with deceleration edge STAs, improving the sensitivity of edge STAs detection channel, and opportunity of edge STA’s transmission packet is not greatly affected. Through the method of establishing mathematical model and simulation verification, it has great practical significance.KeywordsED thresholdTXPowerJoint dynamic adjustmentedEdge STAThroughput enhancement